Instructions to use Ishan1000/tiny-sd-ghibli-lcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ishan1000/tiny-sd-ghibli-lcm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ishan1000/tiny-sd-ghibli-lcm", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from Ishan1000/tiny-sd-ghibli-lcm: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Ishan1000/tiny-sd-ghibli-lcm/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Ishan1000/tiny-sd-ghibli-lcm/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Ishan1000/tiny-sd-ghibli-lcm/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 55b54584add2a6a3708eb8d71f2c8dd03bc7e7b7f05da654f23bf1c378a1010d
- Size of remote file:
- 167 MB
- SHA256:
- 5b2aa8ac7327f57c16822ec283957c8577481203ef74bcc7f2a35096ef351c5b
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